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HiCRep: assessing the reproducibility of Hi-C data using a stratum-adjusted correlation coefficient
Hi-C is a powerful technology for studying genome-wide chromatin interactions. However, current methods for assessing Hi-C data reproducibility can produce misleading results because they ignore spatial features in Hi-C data, such as domain structure and distance dependence. We present HiCRep, a fra...
Tallennettuna:
| Julkaisussa: | Genome Res |
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| Päätekijät: | , , , , , , , |
| Aineistotyyppi: | Artigo |
| Kieli: | Inglês |
| Julkaistu: |
Cold Spring Harbor Laboratory Press
2017
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| Aiheet: | |
| Linkit: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5668950/ https://ncbi.nlm.nih.gov/pubmed/28855260 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1101/gr.220640.117 |
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